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https://github.com/Xevion/phototag.git
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updated README
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128
.gitignore
vendored
128
.gitignore
vendored
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# Custom .gitignore stuff
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package/key/
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*.jpg
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*.png
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*.jpeg
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*.nef
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*.xmp
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*.xmp
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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9
README.md
Normal file
9
README.md
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# photo-tagging
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## What is this repository?
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This repository is for a interesting project involving Google's Vision API and support for automatic photo tagging, with support for Adobe's XMP metadata and other file property based metadata.
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## How does it work?
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This application is built in Python and utilizes the `google-cloud` python module. Install using `pip install google-cloud`. A key should be provided by google in a `.json` file, insert this at `./package/key/photo_tagging_service.json`.
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10
main.py
10
main.py
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os.environ["GOOGLE_APPLICATION_CREDENTIALS"]=os.path.join(sys.path[0], 'package', 'key', 'photo_tagging_service.json')
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if __name__ == "__main__":
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sys.exit(app.run())
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# if __name__ == "__main__":
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# sys.exit(app.run())
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import exif
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path = 'E:\\Photography\\Colorado 2019\\DSC_7960.jpg'
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image = exif.Image(open(path, 'rb'))
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print(image.artist)
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print(dir(image))
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Binary file not shown.
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import io, sys, os, time, rawpy, imageio, progressbar
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from google.cloud import vision
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import io, sys, os, time, rawpy, imageio, progressbar, shutil, iptcinfo3
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from google.cloud.vision import types
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from google.cloud import vision
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from package import xmp
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from PIL import Image
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from package.xmp import writeTags
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# The name of the image file to annotate
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input_path = os.path.join(sys.path[0], 'package', 'processing', 'input')
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@@ -36,7 +36,7 @@ def process_file(file_name, xmp):
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image.thumbnail(size, resample=Image.ANTIALIAS)
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image.save(file_path, format='jpeg', optimize=True, quality=quality)
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base = os.path.splitext(file_name)[0]
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base, ext = os.path.splitext(file_name)
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temp_file_path = os.path.join(temp_path, base + '.jpeg')
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try:
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@@ -64,11 +64,20 @@ def process_file(file_name, xmp):
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response = client.label_detection(image=image)
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labels = [label.description for label in response.label_annotations]
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print('\tLabels: {}'.format(', '.join(labels)))
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print('\tWriting {} tags to output folder...')
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writeTags(os.path.join(input_path, xmp), os.path.join(output_path, xmp), labels)
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print('\tMoving associated original image file...')
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os.rename(os.path.join(input_path, file_name), os.path.join(output_path, file_name))
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if ext == '.NEF':
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print('\tWriting {} tags to output XMP...'.format(len(labels)))
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xmp.writeXMP(os.path.join(input_path, xmp), os.path.join(output_path, xmp), labels)
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else:
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print('\tWriting {} tags to output {}'.format(len(labels), ext[1:].upper()))
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info = iptcinfo3.IPTCInfo(os.path.join(input_path, xmp))
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info['keywords'].extend(labels)
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info.save()
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# Remove the strange ghost file
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os.remove(os.path.join(input_path, xmp) + '~')
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print('\tMoving associated original image file...')
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# Copy dry-run
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shutil.copy2(os.path.join(input_path, file_name), os.path.join(output_path, file_name))
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# os.rename(os.path.join(input_path, file_name), os.path.join(output_path, file_name))
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except:
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_cleanup()
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@@ -1,14 +1,13 @@
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# from libxmp import file_to_dict
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import os, sys, re
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ext_filter = lambda file : file.endswith('.NEF')
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mainPattern = r'<dc:subject>\n\s+<rdf:Bag>\n(?: <rdf:li>.+<\/rdf:li>\n)*\s+<\/rdf:Bag>\n\s+<\/dc:subject>\n'
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subPattern = r'<rdf:li>(.*)</rdf:li>\n'
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subFormatPattern = ' <rdf:li>{}</rdf:li>\n'
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def writeTags(inputPath, outputPath, tags):
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# Write tags to an XMP file, using regex patterns
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def writeXMP(inputPath, outputPath, tags):
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data = open(inputPath, 'r').read()
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# Detect and find the <dc:Subject: part
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match = re.search(mainPattern, data)
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# If it's not found, we just add the tags area right below the creator tag
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look = data.find('</dc:creator>') + 13
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data = data[:look] + addition + data[look:]
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match = re.search(mainPattern, data)
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# Get last matching tag
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submatch = None
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for submatch in re.finditer(subPattern, match.group(0)):
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pass
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# Calculate very end
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spanend = match.span()[0] + (submatch.span()[1] if submatch else 0)
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# add tags to end
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data = data[:spanend] + ''.join(subFormatPattern.format(tag) for tag in tags) + data[spanend:]
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# Write file to disk
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open(outputPath, 'w+').write( data)
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